| id |
caadria2023_111 |
| authors |
Fan, Zhaoxiang, Tang, Shuoning and Liu, Mengxuan |
| year |
2023 |
| title |
Multi-Objective Optimization of Gymnasium Layout Based on Genetic Algorithm – Balance of Energy Consumption and Indoor Thermal Comfort |
| source |
Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 603–612 |
| doi |
https://doi.org/10.52842/conf.caadria.2023.2.603
|
| summary |
Multi-functional complexes have gradually become a new trend in the development of gymnasiums. Different types of layout patterns, such as space combination, space depth ratio, and atrium forms, will have a more obvious impact on the indoor energy consumption and comfort of the gymnasium. The genetic algorithm SPEA-2 and the Pareto optimal multi-objective optimization workflow were introduced in this study to help architects improve the layout design of the gymnasium in the early design stage. This workflow can optimize radiation energy load and indoor thermal comfort by adjusting plan parameters. The study combined with test cases to explore the Pareto frontier solution set (30 generations) of the layout morphological parameters?LMP? under different layout combination modes, and to explore in which combination mode, the energy load and the indoor thermal environment comfort can achieve a relative balance. Part of the optimal solution is selected for quantitative analysis of the performance improvement ratio, so as to verify the simulation test results. |
| keywords |
Morphological layout, Genetic Algorithm, Energy Load Analysis, Indoor Comfort, Multi-objective Optimization (MOO) |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (2,097,518 bytes) |
| references |
Content-type: text/plain
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| last changed |
2023/06/15 23:14 |
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